A Comparative Review of Database-Driven Automation Techniques in Web Systems: Assessing Efficiency, Scalability, Security, and Optimization Strategies
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Keywords

Automation
database-driven automation
optimization strategies
scalability
web systems

How to Cite

[1]
D. G. Costales, “A Comparative Review of Database-Driven Automation Techniques in Web Systems: Assessing Efficiency, Scalability, Security, and Optimization Strategies”, AJMS, vol. 9, no. 1, pp. 18–27, Mar. 2026.

Abstract

This paper investigates the role of database-driven automation in modern web systems, focusing on efficiency, scalability, security, and optimization strategies. A comparative review of various automation techniques—automation frameworks, API integrations, server-side scripting, NoSQL databases, relational databases, cloud-based solutions, AI-driven optimization, containerization, edge computing, and DevOps practices—is conducted. The findings indicate that no single technique is universally superior; rather, each has distinct strengths and limitations. The study provides insights into selecting optimal automation techniques based on specific web system requirements.

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Copyright (c) 2026 Denmark G. Costales